BCNTB bioinformatics: the next evolutionary step in the bioinformatics of breast cancer tissue banking.

Here, we present an update of Breast Cancer Now Tissue Bank bioinformatics, a rich platform for the sharing, mining, integration and analysis of breast cancer data. Its modalities provide researchers with access to a centralised information gateway from which they can access a network of bioinformatic resources to query findings from publicly available, in-house and experimental data generated using samples supplied from the Breast Cancer Now Tissue Bank. This in silico environment aims to help researchers use breast cancer data to their full potential, irrespective of any bioinformatics barriers. For this new release, a complete overhaul of the IT and bioinformatic infrastructure underlying the portal has been conducted and a host of novel analytical modules established. We developed and adopted an automated data selection and prioritisation system, expanded the data content and included tissue and cell line data generated from The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia, designed a host of novel analytical modalities and enhanced the query building process. Furthermore, the results are presented in an interactive format, providing researchers with greater control over the information on which they want to focus. Breast Cancer Now Tissue Bank bioinformatics can be accessed at http://bioinformatics.breastcancertissuebank.org/.Breast Cancer Campaign [TB2016BIF]; Pancreatic Cancer Research Fund (PCRFTB) [Tissue Bank grant, to J.M and A.Z.D.U.]. Funding for open access charge: Breast Cancer Campaign [TB2016BIF]

The Pancreatic Expression Database: 2018 update.

The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) continues to be a major resource for mining pancreatic -omics data a decade after its initial release. Here, we present recent updates to PED and describe its evolution into a comprehensive resource for extracting, analysing and integrating publicly available multi-omics datasets. A new analytical module has been implemented to run in parallel with the existing literature mining functions. This analytical module has been created using rich data content derived from pancreas-related specimens available through the major data repositories (GEO, ArrayExpress) and international initiatives (TCGA, GENIE, CCLE). Researchers have access to a host of functions to tailor analyses to meet their needs. Results are presented using interactive graphics that allow the molecular data to be visualized in a user-friendly manner. Furthermore, researchers are provided with the means to superimpose layers of molecular information to gain greater insight into alterations and the relationships between them. The literature-mining module has been improved with a redesigned web appearance, restructured query platforms and updated annotations. These updates to PED are in preparation for its integration with the Pancreatic Cancer Research Fund Tissue Bank (PCRFTB), a vital resource of pancreas cancer tissue for researchers to support and promote cutting-edge research.Pancreatic Cancer Research Fund [Tissue Bank grant]; Cancer Research UK [Grant A12008]; Breast Cancer Campaign [Tissue Bank Bioinformatics grant TB2016BIF]

Nutraceutical plant derived microrna elements for treatment of leukemia.

The present invention relates to the fields of molecular biology and medicine. The invention is based on the innovative concept of "cross-kingdom functional sequence homology" between plant and mammalian microRNAs (miR- NAs), where plant miRNAs explicit a regulation mechanism into the host mammalian cell, comparable to the endogenous one. More specifically, the invention relates to identification of specific plant miRNA from Olea europea, Moringa oleifera and other Mediterranean and medicinal plants which inhibits in vitro proliferation of human acute leukemia cells, and is fit for the nutraceutical compositions comprising the miRN

Modern flow visualization techniques

The subject of this bachelor thesis is an overview of the flow visualization methods applied in the wind tunnels and fly tests. An overview of flow visualization methods is presented in the first part of the work. The particular methods are presented and evaluated with respect of its complexity, requirements on the instrumentation and expanses. The pros and cons are mentioned for each method finally. The second part of the work deals with selection of the flow visualization method suitable for application in the wind tunnel of the Aeronautical department of the VUT Brno

Experimental Validation of miRNA-mRNA human gene regulation.

<p>Histograms represent the mean values and ± the SD values. A) Presence of green cells in HepG2 cell lines (panel b) 72hrs after transfection with the synthetic FITC <i>mol-miR168a (EVOS FLoid cell imaging station</i>, <i>LifeTechnologies)</i>. Left panel: HepG2 cells transfected only with the lipofectamin (HF); right panel: HepG2 cells transfected with lipofectamin (HF) and synthetic FITC <i>mol-miR168a</i>. B) One representative experiment (out of three) of Western Blot analysis of <i>SIRT-1</i> expression in HepG2 cells after synthetic <i>mol-miR168a</i> transfection; <i>β-actin</i> expression, run on the same gel, indicates that an equal amount of protein was loaded for each sample. C) Western blot analysis for each sample was quantified by densitometry analysis and values were expressed as OD-Bkg/mm²*10³. Histograms represent mean values ± S.D. from three independent experiments performed on HepG2 cells. Statistical comparison of means using t-Test provided the following results: control 72h versus HF, not significant (NS); synthetic <i>mol-miR168a</i> versus control and versus HF, p<0.001.</p

Most highly conserved miRNAs among selected plants.

<p>Most highly conserved miRNAs among selected plants.</p

Putative novel miRNAs list.

<p>Putative novel miRNAs list.</p

Length distribution of miRNA populations.

<p>Sequence length distributions of known and unknown miRNAs in <i>M</i>. <i>oleifera</i> seeds.</p